ZENG ZhiWen,
CHEN Xiao,
YANG HaiYan et al
.2020.Joint inversion of magnetotelluric and gravity based on improved differential evolution algorithm and wide-range petrophysical constraints Chinese Journal of Geophysics(in Chinese),63(12): 4565-4577,doi: 10.6038/cjg2020O0020
Joint inversion of magnetotelluric and gravity based on improved differential evolution algorithm and wide-range petrophysical constraints
ZENG ZhiWen1,2, CHEN Xiao1,2, YANG HaiYan2,3, ZHANG ZhiYong1,2, GUO YiHao1,2, LIU Xing1,2, YE YiXing1,2
1. Engineering Research Center of Nuclear Technology Application, East China University of Technology, Ministry of Education, Nanchang 330013, China; 2. School of Geophysics and Measurement-Control Technology, East China University of Technology, Nanchang 330013, China; 3. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China
Abstract:The wide-range petrophysical constraints technique implemented in joint inversions of magnetotelluric (MT) and seismic, MT and gravity, has advantages of easy implementation, and certain fault tolerance. However, the technique is realized based on simulated annealing algorithm. In addition, differential evolution (DE) algorithm is a global optimization algorithm while it is seldom used in geophysical joint inversions. Based on this, we improve the DE algorithm based on the two-population scheme, and propose the wide-range petrophysical constraints technology using the improved DE algorithm. Model tests of MT and gravity joint inversion show that the improved algorithm has a faster convergence speed and higher optimization capability than the traditional one. Besides, the wide-range petrophysical constraints technique using the improved DE algorithm can promote the coupling of different model parameters within a certain "range". It can develop the guiding role of rock physical property correlation, and can also exert the optimization ability of the optimization algorithm, reducing the prior information requirement for a joint inversion. Moreover, the implementation of the technique also verifies the applicability of the idea of wide range of physical constraint in the field of joint inversion, which has the potential to be further extended to other optimization algorithms.
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